Software Engineering Manager, SRE, AI Foundations, Data Intelligence

Google Inc.

Sydney

Hybrid

AUD 180,000 - 300,000

Full time

3 hours ago
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Job summary

Google Sydney is seeking an experienced Software Engineering Manager to lead an SRE team in AI Foundations and Data Intelligence. You will own end-to-end reliability for key services, drive architecture, and scale systems with automation and strong coding skills in C++, Java, and Go.

Applicants should have 3+ years in people leadership, 8+ years in software development, and a proven track record delivering complex distributed systems in high-availability environments.

Qualifications

  • Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages.
  • 3 years of experience managing people or teams.
  • 3 years of experience leading projects.
  • 3 years of experience designing, analyzing, and troubleshooting distributed systems.

Responsibilities

  • Lead, mentor, and grow a distributed team of SREs. Drive performance evaluations, career management, and strategic hiring to support expanding initiatives.
  • Own end-to-end reliability for F1 Query and CDQ services. Lead within a Tier-1 on-call rotation (5-minute response SLA) to ensure rapid incident resolution and high availability.
  • Identify architectural bottlenecks and design resilient systems. Scale infrastructure sustainably by replacing manual toil with automation to boost reliability and release velocity.
  • Partner with core Query development teams and peer SRE groups across AI Foundations and Data Intelligence. Drive alignment on roadmaps and lead product area and Google-wide reliability efforts.
  • Provide technical guidance via design reviews, consultation, and production training. Steer engineering across C++, Java, and Go services, covering capacity planning and performance tuning.

Skills

Leadership
Distributed systems
Software development
Cross-team collaboration
Code review

Education

Bachelor's degree in Computer Science or related field
Master's degree in Computer Science or Engineering

Tools

C++
Java
Go

Job description

Software Engineering Manager, SRE, AI Foundations, Data Intelligence

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Google Sydney NSW, Australia

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

Share Software Engineering Manager, SRE, AI Foundations, Data Intelligence

  • Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages.
  • 3 years of experience managing people or teams.
  • 3 years of experience leading projects.
  • 3 years of experience designing, analyzing, and troubleshooting distributed systems.
Preferred qualifications:
  • Master's degree in Computer Science or Engineering.
About the job

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to users' needs and a fast rate of improvement. Additionally SRE's will keep an ever-watchful eye on our systems capacity and performance.

Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design.

SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

To learn more: check out our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.

F1 Query (AI Foundations) is Google's planet-scale, distributed federated query engine. Compliant with GoogleSQL, it enables cross-source joins across major internal storage systems (such as Spanner, Capacitor, and ColumnIO). It currently powers 400+ production systems across Ads, Cloud, YouTube, and DeepMind for low-latency analytics, serving, and batch processing.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities
  • Lead, mentor, and grow a distributed team of SREs. Drive performance evaluations, career management, and strategic hiring to support expanding initiatives.
  • Own end-to-end reliability for F1 Query and CDQ services. Lead within a Tier-1 on-call rotation (5-minute response SLA) to ensure rapid incident resolution and high availability.
  • Identify architectural bottlenecks and design resilient systems. Scale infrastructure sustainably by replacing manual toil with automation to boost reliability and release velocity.
  • Partner with core Query development teams and peer SRE groups across AI Foundations and Data Intelligence. Drive alignment on roadmaps and lead product area and Google-wide reliability efforts.
  • Provide technical guidance via design reviews, consultation, and production training. Steer engineering across C++, Java, and Go services, covering capacity planning and performance tuning.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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